Exploratory Plots for 2017-2018 Acoustic/Fish Data

Purpose To explore the Acoustic data gathered in 2017 and 2018 to expose important trends between sites, diurnal patterns, fish abundance, lunar phase, and coral reef acoustics.

Time-Series Acoustics

Acoustics Breakdown All acoustic metrics (SPL and ACI) are broken down into 3 frequency bands: Broadband (All frequencies), High Frequency (Frequencies between 1 kHz - 22 kHz), and Mid Frequency (Frequencies between 160 Hz and 1 kHz)

Note 2017 had a 10 minute duty cycle with 5 minutes recording while 2018 had a 15 minute duty cycle with 5 minutes recording, so the number of files averages differs between years

Frequency-Band Breakdowns

High Frequency

Plots of high frequency patterns, notice diurnal patterns with highest SPL at night and lowest during the day (this is shown in the literature), also notice the clear splits by site. Notice, site 35 seems to have switched position between 2017 and 2018 but all of the other sites seem to be staying more or less in the same spot

  • I wonder if this has to do with macroalgal cover changes between 2017 and 2018

Mid Frequency

Plots of mid frequency patterns, notice opposite diurnal patterns with highest SPL during the day and lowest at night, also notice the clear splits by site. Also, notice that 35 does a similar switch in Mid-frequency, going from the bottom in 2017 to the top in 2018

Combo Plots

Validations

Combined Model All variables are matched to the files that were used for Fish call counts (3:00, 9:00, 15:00, 21:00)

Box Plots

Confidence Intervals

##Distributions

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Scatterplots

Scatterplots SPL

Plotting explanatory (Knocks, Calls, Herbivory, Snaps) against response variables (MF and HF) SPL

Scatterplots ACI

Plotting explanatory (Knocks, Calls, Herbivory, Snaps) against response variables (MF and HF) ACI

Patterns Breakdown SPL and ACI

Patterns in Tot_Knocks and Hour at Site and Hour Level - SPL

Breaking down the relationship between total knocks and MF to the site and hour level

Patterns in HF and Snaps at Site Level - SPL

Patterns in Tot_Knocks and Hour at Site and Hour Level - ACI

Regressions

Regressions - SPL

Running basic regressions linking the explanatory to the response at their lowest levels and combined to see how different sites/ hours change the regression - SPL 

## [1] 0.07154203

## [1] 0.07154203

## [1] 0.02502387

## [1] 0.1885504

## [1] 0.0001189407

## [1] 0.1562949

## [1] 0.01167862

## [1] 0.016759

## [1] 0.1426095

## [1] 0.01083477

## [1] 0.5760618

## [1] 0.007021195

## [1] 0.004048019

Regressions - ACI

Running basic regressions linking the explanatory to the response at their lowest levels and combined to see how different sites/ hours change the regression - ACI 

## [1] 7.59096e-05

## [1] 0.07197858

## [1] 0.0002458592

## [1] 2.285974e-05

## [1] 0.0456215

## [1] 0.03102541

## [1] 0.04651069

## [1] 0.03330172

## [1] 0.07934382